Matplotlib plot bar, float() argument must be a string or a number, not 'NoneType'

Question

I am showing relevant part of the code

import matplotlib.pyplot as plt
tacf = pd.DataFrame(data_acf)
print (type(tacf))
plt.bar(tacf,height=2.0)
plt.show()

Output

<class 'pandas.core.frame.DataFrame'>
  File "/home/jh/miniconda3/lib/python3.6/site-packages/matplotlib/patches.py", line 351, in set_linewidth
    self._linewidth = float(w)
TypeError: float() argument must be a string or a number, not 'NoneType'

If I go for tacf.head

<bound method NDFrame.head of            0
0   1.000000
1   0.942361
2   0.863303
3   0.794420
4   0.727603
5   0.671579
6   0.622612
7   0.570949
8   0.529410
9   0.497035
10  0.485163
11  0.479443
12  0.461094
13  0.444726
14  0.436634

I am confused with bars args and kwargs. Should I convert dataframe to different type or..?

How to plot dataframe as a bar with Matplotlib?

Does tacf.head() return any data?

O.Suleiman
– O.Suleiman

2018-02-11 07:54:43 +00:00
Commented Feb 11, 2018 at 7:54 — O.Suleiman
– O.Suleiman, Commented Feb 11, 2018 at 7:54
tacf.head(), not tacf.head.

DYZ
– DYZ

2018-02-11 08:12:54 +00:00
Commented Feb 11, 2018 at 8:12 — DYZ
– DYZ, Commented Feb 11, 2018 at 8:12

Mike Müller · Accepted Answer · 2018-02-11 08:30:36Z

2

Since you have pandas dataframe, you can u its plotting method:

tacf.plot(kind='bar')

Result for your data:

This is equivalent to:

plt.bar(tacf.index, tacf.iloc[:, 0])
plt.legend(tacf.columns)

edited Feb 11, 2018 at 8:30

answered Feb 11, 2018 at 8:13

Mike Müller

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