pandas DataFrame "no numeric data to plot" error
PythonPandasMatplotlibPython Problem Overview
I have a small DataFrame that I want to plot using pandas.
2 3
0 1300 1000
1 242751149 199446827
2 237712649 194704827
3 16.2 23.0
I am still trying to learn plotting from within pandas . I want a plot In the above example when I say .
df.plot()
I get the strangest error.
Library/Python/2.7/site-packages/pandas-0.16.2-py2.7-macosx-10.10-intel.egg/pandas/tools/plotting.pyc in _compute_plot_data(self)
1015 if is_empty:
1016 raise TypeError('Empty {0!r}: no numeric data to '
-> 1017 'plot'.format(numeric_data.__class__.__name__))
1018
1019 self.data = numeric_data
TypeError: Empty 'DataFrame': no numeric data to plot
While I understand that the DataFrame with its very lopsided values makes a very un-interesting plot. I am wondering why the error message complains of no numeric data to plot.
Python Solutions
Solution 1 - Python
Try the following before plotting:
df=df.astype(float)
Solution 2 - Python
To solve this you have to convert the particular column or columns you want to
use to numeric. First let me create a simple dataframe with pandas and numpy to
understand it better.
#creating the dataframe
import pandas as pd
import numpy as np
details=[['kofi',30,'male',1.5],['ama',43,'female',2.5]]
pf=pd.DataFrame(np.array(details),[0,1],['name','age','sex','id'])
pf #here i am calling the dataframe
name age sex id
0 kofi 30 male 1.5
1 ama 43 female 2.5
#to make your plot work you need to convert the columns that have numbers into numeric
as seen below
pf.id=pd.to_numeric(pf.id)
pf.age=pd.to_numeric(pf.age)
pf.plot.scatter(x='id',y='age')
#This should work perfectly
Solution 3 - Python
Inspired by alex314159, if you have other data than float in the same table
df["YourColumnNameHere"]=df["YourColumnNameHere"].astype(float)
Solution 4 - Python
Convert non numeric data into numeric using:
DataFrame["Column_name"] = DataFrame["Column_name"].str.replace("[\$\,\.]", "")