[Issue] workshop: Analyzing Wildlife Data with Microsoft Fabric (1)

[trantrongw]

In Analyzing Snapshot Serengeti data with Microsoft Fabric. I got an error message:

AttributeError Traceback (most recent call last) Cell In[49], line 3 1 # Create a horizontal bar plot where the y-axis represents the label and the x-axis represents the number of images with that label 2 plt.figure(figsize=(8, 12)) ----> 3 sns.countplot(x='Number of images', data=df, order=df_train['label'].value_counts().index) 4 plt.xlabel('Number of images') 5 plt.ylabel('Label')

File ~/cluster-env/trident_env/lib/python3.10/site-packages/seaborn/categorical.py:2943, in countplot(data, x, y, hue, order, hue_order, orient, color, palette, saturation, width, dodge, ax, **kwargs) 2940 elif x is not None and y is not None: 2941 raise ValueError("Cannot pass values for both x and y") -> 2943 plotter = _CountPlotter( 2944 x, y, hue, data, order, hue_order, 2945 estimator, errorbar, n_boot, units, seed, 2946 orient, color, palette, saturation, 2947 width, errcolor, errwidth, capsize, dodge 2948 ) 2950 plotter.value_label = "count" 2952 if ax is None:

File ~/cluster-env/trident_env/lib/python3.10/site-packages/seaborn/categorical.py:1530, in _BarPlotter.init(self, x, y, hue, data, order, hue_order, estimator, errorbar, n_boot, units, seed, orient, color, palette, saturation, width, errcolor, errwidth, capsize, dodge) 1525 def init(self, x, y, hue, data, order, hue_order, 1526 estimator, errorbar, n_boot, units, seed, 1527 orient, color, palette, saturation, width, 1528 errcolor, errwidth, capsize, dodge): 1529 """Initialize the plotter.""" -> 1530 self.establish_variables(x, y, hue, data, orient, 1531 order, hue_order, units) 1532 self.establish_colors(color, palette, saturation) 1533 self.estimate_statistic(estimator, errorbar, n_boot, seed)

File ~/cluster-env/trident_env/lib/python3.10/site-packages/seaborn/categorical.py:532, in _CategoricalPlotter.establish_variables(self, x, y, hue, data, orient, order, hue_order, units) 524 # Option 2: 525 # We are plotting a long-form dataset 526 # ----------------------------------- (...) 529 530 # See if we need to get variables from data 531 if data is not None: --> 532 x = data.get(x, x) 533 y = data.get(y, y) 534 hue = data.get(hue, hue)

File /opt/spark/python/lib/pyspark.zip/pyspark/sql/dataframe.py:1988, in DataFrame.getattr(self, name) 1978 """Returns the :class:Column denoted by name. 1979 1980 .. versionadded:: 1.3.0 (...) 1985 [Row(age=2), Row(age=5)] 1986 """ 1987 if name not in self.columns: -> 1988 raise AttributeError( 1989 "'%s' object has no attribute '%s'" % (self.class.name, name) 1990 ) 1991 jc = self._jdf.apply(name) 1992 return Column(jc)

AttributeError: 'DataFrame' object has no attribute 'get'

[sinedied]

@Jcardif could you have a look?