Have the following piece of code through which I am trying to plot a graph:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import mpld3
my_list = [1,2,3,4,5,7,8,9,11,23,56,78,3,3,5,7,9,12]
new_list = pd.Series(my_list)
df1 = pd.DataFrame({'Range1':new_list.value_counts().index, 'Range2':new_list.value_counts().values})
df1.sort_values(by=["Range1"],inplace=True)
df2 = df1.groupby(pd.cut(df1["Range1"], [0,1,2,3,4,5,6,7,8,9,10,11,df1['Range1'].max()])).sum()
objects = df2['Range2'].index
y_pos = np.arange(len(df2['Range2'].index))
plt.bar(df2['Range2'].index.values, df2['Range2'].values)
but getting the following error message:
TypeError: float() argument must be a string or a number, not 'pandas._libs.interval.Interval'
Not getting from where this float error is coming. Any suggestion is highly appreciated.
Matplotlib cannot plot category
datatypes. You would need to convert to a string.
plt.bar(df2['Range2'].index.astype(str), df2['Range2'].values)