How to Fix: TypeError: no numeric data to plot Last Updated : 28 Nov, 2021 Comments Improve Suggest changes Like Article Like Report In this article, we will fix the error: TypeError: no numeric data to plot Cases of this error occurrence: Python3 # importing pandas import pandas as pd # importing numpy import numpy as np import matplotlib.pyplot as plt petal_length = ['3.3', '3.5', '4.0', '4.5', '4.6', '5.0', '5.5', '6.0', '6.5', '7.0'] petal_width = ['3.6', '3.8', '4.4', '6.6', '6.8', '7.0', '7.5', '8.0', '8.5', '8.9'] df = pd.DataFrame({'petal_length(cm)': petal_length, 'petal_width(cm)': petal_width}) df.plot(x='petal_length(cm)', y='petal_width(cm)') plt.show() Output: TypeError: no numeric data to plotReason for the error : Plotting can be done only on numeric data when we plot the data with datatype different that numeric data this error raises. To know whether the data types are numeric or not we can know it by using the function dtypes(). print(df.dtypes) The data that we use to plot must be numeric. Fixing the error: This error can be fixed by converting the data to be plotted into numeric data. To convert the data to numeric data we can use the functions astype() or to_numeric(). Method 1 : Using astype() function Syntax: df['column_name']= df['column_name'].astype(data_type) where, df is the input dataframe Example: Python3 # importing pandas import pandas as pd # importing numpy import numpy as np # importing matplotlib.pyplot import matplotlib.pyplot as plt petal_length = ['3.3', '3.5', '4.0', '4.5', '4.6', '5.0', '5.5', '6.0', '6.5', '7.0'] petal_width = ['3.6', '3.8', '4.4', '6.6', '6.8', '7.0', '7.5', '8.0', '8.5', '8.9'] df = pd.DataFrame({'petal_length(cm)': petal_length, 'petal_width(cm)': petal_width}) df['petal_length(cm)'] = df['petal_length(cm)'].astype(float) df['petal_width(cm)'] = df['petal_width(cm)'].astype(float) df.plot(x='petal_length(cm)', y='petal_width(cm)') plt.show() Output: Method 2 :Using to_numeric() function Syntax: df['column_name'] = pd.to_numeric(df['column_name']) where df is the input dataframe Example: Python3 # importing pandas import pandas as pd # importing numpy import numpy as np # importing matplotlib.pyplot import matplotlib.pyplot as plt petal_length = ['3.3', '3.5', '4.0', '4.5', '4.6', '5.0', '5.5', '6.0', '6.5', '7.0'] petal_width = ['3.6', '3.8', '4.4', '6.6', '6.8', '7.0', '7.5', '8.0', '8.5', '8.9'] df = pd.DataFrame({'petal_length(cm)': petal_length, 'petal_width(cm)': petal_width}) # Using to_numeric() function df['petal_length(cm)'] = pd.to_numeric(df['petal_length(cm)']) df['petal_width(cm)'] = pd.to_numeric(df['petal_width(cm)']) df.plot(x='petal_length(cm)', y='petal_width(cm)') plt.show() Output: Comment More infoAdvertise with us Next Article How to Fix: TypeError: no numeric data to plot L lokeshpotta20 Follow Improve Article Tags : Python Python-pandas Python How-to-fix Practice Tags : python Similar Reads How to Fix "Can't Adapt Type 'numpy.int64'"? 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