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x0rz / tweets_analyzer

Tweets metadata scraper & activity analyzer
GNU General Public License v3.0
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Error: 'latin-1' codec can't encode characters in position 7-29 #32

Open Strykar opened 6 years ago

Strykar commented 6 years ago

@x0rz Error message: [!] Error: 'latin-1' codec can't encode characters in position 7-29: ordinal not in range(256)

avi@sin:~/github/tweets_analyzer# python3 tweets_analyzer.py -n AviHD --utc-offset 19800 --friends
[+] Getting @AviHD account data...
[+] lang           : en
[+] geo_enabled    : False
[+] time_zone      : New Delhi
[+] utc_offset     : 19800
[!] Applying timezone offset 19800 (--utc-offset)
[+] statuses_count : 199
[+] Retrieving last 199 tweets...
 97%|###################################################################################################################   | 194/199 [00:06<00:00, 28.94tw/s]
[+] Downloaded 199 tweets from 2011-12-15 05:35:51 to 2017-10-09 06:11:59 (2125 days)
[+] Average number of tweets per day: 0.1
Daily activity distribution (per hour)
###############################################################################
[!] Error: 'latin-1' codec can't encode characters in position 7-29: ordinal not in range(256)
x0rz commented 6 years ago

Can't reproduce with my setup, I suggest you to try using Python2

Strykar commented 6 years ago

@x0rz Issue persists with Python 2.7.14 also, what else can I try to troubleshoot this?

avi@sin:~/github/tweets_analyzer# python tweets_analyzer.py -n AviHD --utc-offset 19800 --friends
[+] Getting @AviHD account data...
[+] lang           : en
[+] geo_enabled    : False
[+] time_zone      : Pacific Time (US & Canada)
[+] utc_offset     : -25200
[!] Applying timezone offset 19800 (--utc-offset)
[+] statuses_count : 2711
[+] Retrieving last 1000 tweets...
100%|####################################################################################################################| 1000/1000 [00:31<00:00, 32.23tw/s]
[+] Downloaded 1000 tweets from 2017-07-26 15:05:28 to 2017-10-23 17:30:42 (89 days)
[+] Average number of tweets per day: 11.2
Daily activity distribution (per hour)
###############################################################################
[!] Error: 'latin-1' codec can't encode characters in position 7-20: ordinal not in range(256)
Strykar commented 6 years ago

So I looked at a possible solution listed by https://github.com/nyo at https://github.com/x0rz/tweets_analyzer/issues/28 of changing line 241, encode the printed line like following: print(line.encode("utf-8")) This removes the error, but the graphs are borked.

root@sin:~/github/tweets_analyzer# python3 tweets_analyzer.py -n MarTechSeries --utc-offset 19800 --friends
[+] Getting @MarTechSeries account data...
[+] lang           : en
[+] geo_enabled    : False
[+] time_zone      : Pacific Time (US & Canada)
[+] utc_offset     : -28800
[!] Applying timezone offset 19800 (--utc-offset)
[+] statuses_count : 3131
[+] Retrieving last 1000 tweets...
100%|####################################################################################################################| 1000/1000 [00:32<00:00, 30.44tw/s]
[+] Downloaded 1000 tweets from 2017-09-06 16:07:53 to 2017-11-13 18:45:12 (68 days)
[+] Average number of tweets per day: 14.7
b'Daily activity distribution (per hour)'
b'###############################################################################'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                    \x1b[0m \x1b[0;33m83\x1b[0m    00:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                          \x1b[0m \x1b[0;33m68\x1b[0m    01:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88                                    \x1b[0m \x1b[0;33m44\x1b[0m    02:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                          \x1b[0m \x1b[0;32m30\x1b[0m    03:00             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                            \x1b[0m \x1b[0;32m24\x1b[0m    04:00             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                                  \x1b[0m \x1b[0;32m11\x1b[0m    05:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88                                                    \x1b[0m  \x1b[0;32m5\x1b[0m    06:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88                                                    \x1b[0m  \x1b[0;32m7\x1b[0m    07:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88                                                    \x1b[0m  \x1b[0;32m7\x1b[0m    08:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                                   \x1b[0m  \x1b[0;32m8\x1b[0m    09:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88                                                     \x1b[0m  \x1b[0;32m4\x1b[0m    10:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                                   \x1b[0m  \x1b[0;32m8\x1b[0m    11:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                                 \x1b[0m \x1b[0;32m12\x1b[0m    12:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                                \x1b[0m \x1b[0;32m15\x1b[0m    13:00 (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                              \x1b[0m \x1b[0;32m20\x1b[0m    14:00             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                         \x1b[0m \x1b[0;32m32\x1b[0m    15:00             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                           \x1b[0m \x1b[0;32m28\x1b[0m    16:00             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                       \x1b[0m \x1b[0;32m36\x1b[0m    17:00             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                        \x1b[0m \x1b[0;33m72\x1b[0m    18:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                      \x1b[0m \x1b[0;33m78\x1b[0m    19:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;31m\xe2\x96\x88                   \x1b[0m \x1b[0;31m86\x1b[0m    20:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;31m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88          \x1b[0m\x1b[0;31m107\x1b[0m    21:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;31m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88      \x1b[0m\x1b[0;31m118\x1b[0m    22:00 (\x1b[92m+\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;31m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88               \x1b[0m \x1b[0;31m97\x1b[0m    23:00 (\x1b[92m+\x1b[0m)'

b'Weekly activity distribution (per day)'
b'##################################################################################'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m                  \x1b[0m\x1b[0;33m145\x1b[0m    Monday               '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88            \x1b[0m\x1b[0;33m169\x1b[0m    Tuesday              '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88            \x1b[0m\x1b[0;33m167\x1b[0m    Wednesday            '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88        \x1b[0m\x1b[0;33m183\x1b[0m    Thursday             '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\x1b[0m\x1b[0;33m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88     \x1b[0m\x1b[0;33m193\x1b[0m    Friday               '
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                            \x1b[0m\x1b[0;32m103\x1b[0m    Saturday (\x1b[91m-\x1b[0m)'
b'\x1b[0;32m\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88\xe2\x96\x88                                            \x1b[0m \x1b[0;32m40\x1b[0m    Sunday (\x1b[91m-\x1b[0m)  '

[+] Detected languages (top 5)
- en     988 (98%)
- ro       3 (0%)
- it       2 (0%)
- fr       2 (0%)
- und      1 (0%)

[+] Detected sources (top 10)
- Hootsuite              574 (57%)
- Twitter for Android    262 (26%)
- Twitter Web Client     135 (13%)
- SocialOomph             29 (2%)

[+] There are 0 geo enabled tweet(s)
[+] Top 10 hashtags
- #AI            65 (6%)
- #Marketing     38 (3%)
- #Analytics     35 (3%)
- #marketing     34 (3%)
- #ABM           25 (2%)
- #MarTech       23 (2%)
- #Data          21 (2%)
- #B2B           20 (1%)
- #Digital       15 (1%)
- #martech       14 (1%)

[+] @MarTechSeries did 319 RTs out of 1000 tweets (31.9%)
[+] Top 5 most retweeted users
- @MarTechSeries       7 (2%)
- @Digitalmstream      6 (1%)
- @marketo             5 (1%)
- @TamaraMcCleary      4 (1%)
- @jeffsheehan         4 (1%)

[+] Top 5 most mentioned users
- @MarTechSeries      229 (15%)
- @salesforce          26 (1%)
- @marketo             21 (1%)
- @Sudipto_Martech     14 (0%)
- @Demandbase          13 (0%)

[+] Most referenced domains (from URLs)
- ow.ly                397 (63%)
- martechseries.com     69 (11%)
- mrth.it               52 (8%)
- bit.ly                42 (6%)
- buff.ly               21 (3%)
- okt.to                 6 (0%)

[+] Getting 300 @MarTechSeries's friends data...
100%|#################################################################################################################| 300/300 [00:09<00:00, 31.39friends/s]
[+] Friends languages
- en       276 (92%)
- fr         8 (2%)
- en-gb      6 (2%)
- de         5 (1%)
- ru         2 (0%)
- es         2 (0%)

[+] Friends timezones
- Pacific Time (US & Canada)      82 (30%)
- Eastern Time (US & Canada)      58 (21%)
- Central Time (US & Canada)      28 (10%)
- London                          16 (5%)
- Mountain Time (US & Canada)     11 (4%)
- New Delhi                        8 (2%)
- Paris                            5 (1%)
- Jerusalem                        5 (1%)
ozzi- commented 6 years ago

What os / terminal are you using? Please try running the newest version with the flag --no-color, see if that works for you