So this is how my dataset looks like but when i use
plot.line()
it gives me the error " no numeric data to plot"
apply to numeric doesn't seem to work
2 Answers
check if the below code helps.
import matplotlib.pyplot as plt
x = df.iloc[:,0]
y = df.iloc[:,1]
plt.scatter(x, y, s=area, c=colors, alpha=0.5)
plt.show()
5 Comments
van dam
it gives errors. it doesn't understand area/colors/alpha and if i delete those parts and only put it in (x, y) it gives me this : ibb.co/xY6P4jf
Harishma Ashok
Okay, i think you can get rid of area/colors/alpha. i am sure your data is very big data that i why the plot is not very precise. You can still see how it works by working with the subset of the data by doing
df = df.head(50) now look how your plot is.Harishma Ashok
alternate way: also you can how your plot looks like by doing
df.plot("Country Name", "China")van dam
okay so it seems i used your code on the original data and that's why it looked like that. but when i use it on the dataset that i posted above it gives me "single positional indexer is out-of-bounds" error
Harishma Ashok
import matplotlib.pyplot as plt df = df.head(50) x = df.iloc[:,0] y = df.iloc[:,1] plt.scatter(x, y, s=area, c=colors, alpha=0.5) plt.show() can you try this?There are so, so many ways!
import seaborn as sns
sns.scatterplot(x="Country Name", y="China", data=df)
sns.lineplot(x="Country Name", y="China", data=df)
sns.barplot(x="Country Name", y="China", data=df)
See the links below for more info.
df.plot('Country Name' , 'China')