How to add text annotations and mark plotted points and the numeric values to a matplotlib plot of a pandas dataframe? The columns of the dataframe are not a fixed size, they vary for different files.
dataframe = pd.read_csv('file1.csv')
plt.figure(figsize=(50,25))
dataframe.plot()
plt.xticks(rotation=45, fontsize=8)
plt.yticks(fontsize=8)
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.DataFrame({'x':range(0, 100, 20),
'y':np.random.randint(0,100,5)})
rows, cols = df.shape
fig, ax = plt.subplots(figsize=(50/10,25/10))
df.plot(ax=ax)
for col in range(cols):
for i in range(rows):
ax.annotate('{}'.format(df.iloc[i, col]), xy=(i, df.iloc[i, col]))
plt.xticks(rotation=45, fontsize=8)
plt.yticks(fontsize=8)
plt.show()

