Almaatla/Standard_Intelligence_Dev
0
1from excel_chat import get_columns2import matplotlib.pyplot as plt3import pandas as pd4import numpy as np5 6 7def create_bar_plot(file, x_values, y_values):8 df = pd.read_excel(file)9 10 df['Simple_X'] = df[x_values].apply(lambda x: ' '.join(x.split(',')[0].split()[:2]) if type(x)==str else np.nan)11 12 if y_values == "":13 counts = df['Simple_X'].value_counts()14 fig = plt.figure(figsize=(16, 7))15 counts.plot(kind='bar')16 plt.title(f'Count of First Words in {x_values}')17 plt.xlabel('First Word')18 plt.ylabel('Count')19 else:20 df['Simple_Y'] = df[y_values].apply(lambda x: ' '.join(x.split(',')[0].split()[:2]) if type(x)==str else np.nan)21 22 count_df = df.groupby(['Simple_X', 'Simple_Y']).size().unstack(fill_value=0)23 fig, ax = plt.subplots(figsize=(16, 7))24 25 count_df.plot(kind='bar', stacked=True, ax=ax)26 27 28 plt.legend(title=y_values, bbox_to_anchor=(1.05, 1), loc='upper left')29 30 plt.xlabel(y_values)31 plt.ylabel('Number of Contributions')32 plt.title(f'Number of Contributions by {y_values} and {x_values}')33 34 for i, bar in enumerate(ax.patches):35 h = bar.get_height()36 w = bar.get_width()37 x = bar.get_x()38 y = bar.get_y()39 if h > 0:40 ax.text(x + w/2, y + h/2, int(h), ha='center', va='center')41 42 plt.tight_layout()43 return fig