Python matplotlib - How to draw line chart with many series?
I had a python pandas dataframe like below:
test_score param # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3
I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.
Could this chart be plotted in python matplotlib?
python pandas dataframe matplotlib
asked Nov 11 at 18:11
Jenny Jing Yu
123
add a comment |
I had a python pandas dataframe like below:
test_score param # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3
I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.
Could this chart be plotted in python matplotlib?
python pandas dataframe matplotlib
asked Nov 11 at 18:11
Jenny Jing Yu
123
1
Did you try anything? Likedf.groupby("param").plot(x="# of nodes", y="test_score")?
– ImportanceOfBeingErnest
Nov 11 at 18:16
add a comment |
I had a python pandas dataframe like below:
test_score param # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3
I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.
Could this chart be plotted in python matplotlib?
python pandas dataframe matplotlib
asked Nov 11 at 18:11
Jenny Jing Yu
123
I had a python pandas dataframe like below:
test_score param # of Nodes
0 0.497852 relu 1
1 0.68935 relu 2
2 0.701165 relu 3
3 0.735223 identity 1
4 0.735064 identity 2
5 0.735691 identity 3
6 0.72651 logistic 1
7 0.664837 logistic 2
8 0.743445 logistic 3
9 0.705182 tanh 1
10 0.673399 tanh 2
11 0.684129 tanh 3
I would like to draw the line chart with x axis as "# of Nodes", y axis as "test_score", and four param values "relu, identity, logistic, tanh" as 4 series lines.
Could this chart be plotted in python matplotlib?
python pandas dataframe matplotlib
python pandas dataframe matplotlib
asked Nov 11 at 18:11
Jenny Jing Yu
123
asked Nov 11 at 18:11
Jenny Jing Yu
123
edited Nov 11 at 18:28
asked Nov 11 at 18:11
Jenny Jing Yu
123
asked Nov 11 at 18:11
Jenny Jing Yu
123
asked Nov 11 at 18:11
Jenny Jing Yu
123
123
1
Did you try anything? Likedf.groupby("param").plot(x="# of nodes", y="test_score")?
– ImportanceOfBeingErnest
Nov 11 at 18:16
add a comment |
1
Did you try anything? Likedf.groupby("param").plot(x="# of nodes", y="test_score")?
– ImportanceOfBeingErnest
Nov 11 at 18:16
1
1
Did you try anything? Like
df.groupby("param").plot(x="# of nodes", y="test_score")?– ImportanceOfBeingErnest
Nov 11 at 18:16
Did you try anything? Like
df.groupby("param").plot(x="# of nodes", y="test_score")?– ImportanceOfBeingErnest
Nov 11 at 18:16
add a comment |
2 Answers
2
active
oldest
votes
You can start by grouping by param, then iterating through your groups and plotting:
g = df.groupby('param')
for p, data in g:
plt.plot(data['# of Nodes'], data['test_score'], label=p)
plt.legend()
plt.xlabel('# of Nodes')
plt.ylabel('Test Score')
plt.show()
answered Nov 11 at 18:17
sacul
29.9k41740
add a comment |
If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.
df.pivot(index='# of Nodes', columns='param', values='test_score').plot()
answered Nov 11 at 21:33
ALollz
11.1k31334
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
You can start by grouping by param, then iterating through your groups and plotting:
g = df.groupby('param')
for p, data in g:
plt.plot(data['# of Nodes'], data['test_score'], label=p)
plt.legend()
plt.xlabel('# of Nodes')
plt.ylabel('Test Score')
plt.show()
answered Nov 11 at 18:17
sacul
29.9k41740
add a comment |
You can start by grouping by param, then iterating through your groups and plotting:
g = df.groupby('param')
for p, data in g:
plt.plot(data['# of Nodes'], data['test_score'], label=p)
plt.legend()
plt.xlabel('# of Nodes')
plt.ylabel('Test Score')
plt.show()
answered Nov 11 at 18:17
sacul
29.9k41740
add a comment |
You can start by grouping by param, then iterating through your groups and plotting:
g = df.groupby('param')
for p, data in g:
plt.plot(data['# of Nodes'], data['test_score'], label=p)
plt.legend()
plt.xlabel('# of Nodes')
plt.ylabel('Test Score')
plt.show()
answered Nov 11 at 18:17
sacul
29.9k41740
You can start by grouping by param, then iterating through your groups and plotting:
g = df.groupby('param')
for p, data in g:
plt.plot(data['# of Nodes'], data['test_score'], label=p)
plt.legend()
plt.xlabel('# of Nodes')
plt.ylabel('Test Score')
plt.show()
answered Nov 11 at 18:17
sacul
29.9k41740
answered Nov 11 at 18:17
sacul
29.9k41740
answered Nov 11 at 18:17
sacul
29.9k41740
answered Nov 11 at 18:17
sacul
29.9k41740
29.9k41740
add a comment |
add a comment |
If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.
df.pivot(index='# of Nodes', columns='param', values='test_score').plot()
answered Nov 11 at 21:33
ALollz
11.1k31334
add a comment |
If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.
df.pivot(index='# of Nodes', columns='param', values='test_score').plot()
answered Nov 11 at 21:33
ALollz
11.1k31334
add a comment |
If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.
df.pivot(index='# of Nodes', columns='param', values='test_score').plot()
answered Nov 11 at 21:33
ALollz
11.1k31334
If you have all nodes for all parameters like in your example you can .pivot your DataFrame to a more suitable format for plotting them all.
df.pivot(index='# of Nodes', columns='param', values='test_score').plot()
answered Nov 11 at 21:33
ALollz
11.1k31334
edited Nov 11 at 21:43
answered Nov 11 at 21:33
ALollz
11.1k31334
answered Nov 11 at 21:33
ALollz
11.1k31334
answered Nov 11 at 21:33
ALollz
11.1k31334
11.1k31334
add a comment |
add a comment |
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1
Did you try anything? Like
df.groupby("param").plot(x="# of nodes", y="test_score")?– ImportanceOfBeingErnest
Nov 11 at 18:16