release: grplot-0.9.3

grplot/__init__.py

@@ -193,7 +193,7 @@ def grplot(plot, # default general value
     by ghiffary rifqialdi
     based on numpy, scipy, matplotlib, seaborn, squarify, and pandas
     
-    version = '0.9.2'
+    version = '0.9.3'
 
     release date
     07/06/2022

grplot/features/font/font_def.py

@@ -1,4 +1,5 @@
 from pandas.api.types import is_numeric_dtype, is_object_dtype, is_categorical_dtype
+from grplot.utils.first_valid_index import first_valid_index
 
 
 def font_def(plot, df, x, y, ax, tick_fontsize, label_fontsize):
@@ -9,12 +10,12 @@ def font_def(plot, df, x, y, ax, tick_fontsize, label_fontsize):
         except:
             raise Exception('Unknown tick fontsize argument!')
         if plot == 'paretoplot':
-            if ((is_object_dtype(df[x]) == True) or (is_object_dtype(type(df[x][df.first_valid_index()])) == True) or (is_categorical_dtype(df[x]) == True) or (is_categorical_dtype(type(df[x][df.first_valid_index()])) == True)) and ((is_numeric_dtype(df[y]) == True) or (is_numeric_dtype(type(df[y][df.first_valid_index()])) == True)):
+            if ((is_object_dtype(df[x]) == True) or (is_object_dtype(type(df[x][first_valid_index(df)])) == True) or (is_categorical_dtype(df[x]) == True) or (is_categorical_dtype(type(df[x][first_valid_index(df)])) == True)) and ((is_numeric_dtype(df[y]) == True) or (is_numeric_dtype(type(df[y][first_valid_index(df)])) == True)):
                 try:
                     ax.get_shared_x_axes().get_siblings(ax)[0].tick_params(axis='both', labelsize=tick_fontsize)
                 except:
                     raise Exception('Unknown tick fontsize argument!')
-            elif ((is_numeric_dtype(df[x]) == True) or (is_numeric_dtype(type(df[x][df.first_valid_index()])) == True)) and ((is_object_dtype(df[y]) == True) or (is_object_dtype(type(df[y][df.first_valid_index()])) == True) or (is_categorical_dtype(df[y]) == True) or (is_categorical_dtype(type(df[y][df.first_valid_index()])) == True)):
+            elif ((is_numeric_dtype(df[x]) == True) or (is_numeric_dtype(type(df[x][first_valid_index(df)])) == True)) and ((is_object_dtype(df[y]) == True) or (is_object_dtype(type(df[y][first_valid_index(df)])) == True) or (is_categorical_dtype(df[y]) == True) or (is_categorical_dtype(type(df[y][first_valid_index(df)])) == True)):
                 try:
                     ax.get_shared_y_axes().get_siblings(ax)[0].tick_params(axis='both', labelsize=tick_fontsize)
                 except:
@@ -33,12 +34,12 @@ def font_def(plot, df, x, y, ax, tick_fontsize, label_fontsize):
         except:
             raise Exception('Unknown label fontsize argument!')
         if plot == 'paretoplot':
-            if ((is_object_dtype(df[x]) == True) or (is_object_dtype(type(df[x][df.first_valid_index()])) == True) or (is_categorical_dtype(df[x]) == True) or (is_categorical_dtype(type(df[x][df.first_valid_index()])) == True)) and ((is_numeric_dtype(df[y]) == True) or (is_numeric_dtype(type(df[y][df.first_valid_index()])) == True)):
+            if ((is_object_dtype(df[x]) == True) or (is_object_dtype(type(df[x][first_valid_index(df)])) == True) or (is_categorical_dtype(df[x]) == True) or (is_categorical_dtype(type(df[x][first_valid_index(df)])) == True)) and ((is_numeric_dtype(df[y]) == True) or (is_numeric_dtype(type(df[y][first_valid_index(df)])) == True)):
                 try:
                     ax.get_shared_x_axes().get_siblings(ax)[0].yaxis.get_label().set_fontsize(label_fontsize)
                 except:
                     raise Exception('Unknown label fontsize argument!')
-            elif ((is_numeric_dtype(df[x]) == True) or (is_numeric_dtype(type(df[x][df.first_valid_index()])) == True)) and ((is_object_dtype(df[y]) == True) or (is_object_dtype(type(df[y][df.first_valid_index()])) == True) or (is_categorical_dtype(df[y]) == True) or (is_categorical_dtype(type(df[y][df.first_valid_index()])) == True)):
+            elif ((is_numeric_dtype(df[x]) == True) or (is_numeric_dtype(type(df[x][first_valid_index(df)])) == True)) and ((is_object_dtype(df[y]) == True) or (is_object_dtype(type(df[y][first_valid_index(df)])) == True) or (is_categorical_dtype(df[y]) == True) or (is_categorical_dtype(type(df[y][first_valid_index(df)])) == True)):
                 try:
                     ax.get_shared_y_axes().get_siblings(ax)[0].xaxis.get_label().set_fontsize(label_fontsize)
                 except:

grplot/features/plot/plot_single_def.py

@@ -4,6 +4,7 @@
 from pandas.api.types import is_numeric_dtype, is_object_dtype, is_categorical_dtype
 from grplot.features.plot.packedbubbles import plot as pb
 from grplot.features.plot.treemaps import plot as tms
+from grplot.utils.first_valid_index import first_valid_index
 
 
 def plot_single_def(plot,
@@ -1072,7 +1073,7 @@ def plot_single_def(plot,
             raise Exception('Define axis label!')
     elif plot == 'paretoplot':
         if x is not None and y is not None:
-            if ((is_object_dtype(data[x]) == True) or (is_object_dtype(type(data[x][data.first_valid_index()])) == True) or (is_categorical_dtype(data[x]) == True) or (is_categorical_dtype(type(data[x][data.first_valid_index()])) == True)) and ((is_numeric_dtype(data[y]) == True) or (is_numeric_dtype(type(data[y][data.first_valid_index()])) == True)):
+            if ((is_object_dtype(data[x]) == True) or (is_object_dtype(type(data[x][first_valid_index(data)])) == True) or (is_categorical_dtype(data[x]) == True) or (is_categorical_dtype(type(data[x][first_valid_index(data)])) == True)) and ((is_numeric_dtype(data[y]) == True) or (is_numeric_dtype(type(data[y][first_valid_index(data)])) == True)):
                 data_pareto_x, idx, counts = numpy.unique(data[x], return_inverse=True, return_counts=True)
                 data_bin_y = numpy.bincount(idx, weights=data[y])
                 data_pareto_y = data_bin_y / counts
@@ -1170,7 +1171,7 @@ def plot_single_def(plot,
                 ax2.grid(False)
                 ax2.set_ylabel('Cumulative Percentage')
                 ax.get_shared_x_axes().get_siblings(ax)[0].set_ylim([0,110])
-            elif ((is_numeric_dtype(data[x]) == True) or (is_numeric_dtype(type(data[x][data.first_valid_index()])) == True)) and ((is_object_dtype(data[y]) == True) or (is_object_dtype(type(data[y][data.first_valid_index()])) == True) or (is_categorical_dtype(data[y]) == True) or (is_categorical_dtype(type(data[y][data.first_valid_index()])) == True)):
+            elif ((is_numeric_dtype(data[x]) == True) or (is_numeric_dtype(type(data[x][first_valid_index(data)])) == True)) and ((is_object_dtype(data[y]) == True) or (is_object_dtype(type(data[y][first_valid_index(data)])) == True) or (is_categorical_dtype(data[y]) == True) or (is_categorical_dtype(type(data[y][first_valid_index(data)])) == True)):
                 data_pareto_y, idx, counts = numpy.unique(data[y], return_inverse=True, return_counts=True)
                 data_bin_x = numpy.bincount(idx, weights=data[x])
                 data_pareto_x = data_bin_x / counts

grplot/features/sep/tick_sep/tick_sep_data_def.py

@@ -1,10 +1,11 @@
 from pandas.api.types import is_numeric_dtype
 from grplot.features.sep.tick_sep.tick_sep_def import tick_sep_def
+from grplot.utils.first_valid_index import first_valid_index
 
 
 def tick_sep_data_def(df, ax, axis, axislabel, sep):
     if axislabel in df:
-        if (is_numeric_dtype(df[axislabel]) == True) or (is_numeric_dtype(type(df[axislabel][df.first_valid_index()])) == True):
+        if (is_numeric_dtype(df[axislabel]) == True) or (is_numeric_dtype(type(df[axislabel][first_valid_index(df)])) == True):
             tick_sep_def(ax=ax, axis=axis, sep=sep)
         else:
             pass

grplot/features/text/text_def.py

@@ -3,6 +3,7 @@
 import matplotlib
 from grplot.features.add.text_add.text_add_type import text_add_type
 from grplot.features.sep.text_sep.text_sep_type import text_sep_type
+from grplot.utils.first_valid_index import first_valid_index
 
 
 def text_def(plot, df, ax, ci, hue, multiple, axis, text, sep, add, text_fontsize, naxislabel, axislabel, axes):
@@ -36,7 +37,7 @@ def text_def(plot, df, ax, ci, hue, multiple, axis, text, sep, add, text_fontsiz
         # numerical check for main axis of histplot, barplot, countplot, barplot in paretoplot
         numeric = False
         if axislabel in df:
-            if (is_numeric_dtype(df[axislabel]) == True) or (is_numeric_dtype(type(df[axislabel][df.first_valid_index()])) == True):
+            if (is_numeric_dtype(df[axislabel]) == True) or (is_numeric_dtype(type(df[axislabel][first_valid_index(df)])) == True):
                 numeric = True
             else:
                 pass

grplot/utils/first_valid_index.py

@@ -0,0 +1,12 @@
+import numpy
+import pandas
+
+
+def first_valid_index(df):
+    if type(df) in [list, numpy.ndarray]:
+        first_valid_index = 0
+    elif type(df) == pandas.core.frame.DataFrame:
+        first_valid_index = df.first_valid_index()
+    else:
+        raise Exception('Unsupported data structure!')
+    return first_valid_index

setup.py

@@ -1,7 +1,7 @@
 from setuptools import setup
 
 DISTNAME = "grplot"
-VERSION = "0.9.2"
+VERSION = "0.9.3"
 MAINTAINER = "Ghiffary Rifqialdi"
 MAINTAINER_EMAIL = "[email protected]"
 DESCRIPTION = "grplot: lazy statistical data visualization"