How do you grid data based on three different arrays?
I have three arrays. Time, height, and then my values at each time and height. It is a large dataset and when I try to do np.meshgrid() I get a memory error. When I plot it using plt.pcolormesh it plots perfectly.
For example, if I have an array of heights:
[[-3, -2, -1, 0, 1, 2],
[-1, 0, 1, 2, 3, 4],
[ 1, 2, 3, 4, 5, 6]]
An array of times:
[[1, 1, 1, 1, 1, 1],
[2, 2, 2, 2, 2, 2],
[3, 3, 3, 3, 3, 3]]
And then my data:
[[22, 10, 5, NaN, 3, 7],
[4, 2, 9, -3, 4, 1],
[7, 5, 2, -1, 4, 2]]
How do I get a grid that looks something like this:
-3 -2 -1 0 1 2 3 4 5 6
1 22 10 5 NaN 3 7 NaN NaN NaN NaN
2 NaN NaN 4 2 9 -3 4 1 NaN NaN
3 NaN NaN NaN NaN 7 5 2 -1 4 2
I was then planning on making a Pandas DataFrame out of the data and using it for data analysis.
python python-2.7 pandas
asked Nov 11 at 21:17
Troy Zaremba
785
add a comment |
I have three arrays. Time, height, and then my values at each time and height. It is a large dataset and when I try to do np.meshgrid() I get a memory error. When I plot it using plt.pcolormesh it plots perfectly.
For example, if I have an array of heights:
[[-3, -2, -1, 0, 1, 2],
[-1, 0, 1, 2, 3, 4],
[ 1, 2, 3, 4, 5, 6]]
An array of times:
[[1, 1, 1, 1, 1, 1],
[2, 2, 2, 2, 2, 2],
[3, 3, 3, 3, 3, 3]]
And then my data:
[[22, 10, 5, NaN, 3, 7],
[4, 2, 9, -3, 4, 1],
[7, 5, 2, -1, 4, 2]]
How do I get a grid that looks something like this:
-3 -2 -1 0 1 2 3 4 5 6
1 22 10 5 NaN 3 7 NaN NaN NaN NaN
2 NaN NaN 4 2 9 -3 4 1 NaN NaN
3 NaN NaN NaN NaN 7 5 2 -1 4 2
I was then planning on making a Pandas DataFrame out of the data and using it for data analysis.
python python-2.7 pandas
asked Nov 11 at 21:17
Troy Zaremba
785
add a comment |
I have three arrays. Time, height, and then my values at each time and height. It is a large dataset and when I try to do np.meshgrid() I get a memory error. When I plot it using plt.pcolormesh it plots perfectly.
For example, if I have an array of heights:
[[-3, -2, -1, 0, 1, 2],
[-1, 0, 1, 2, 3, 4],
[ 1, 2, 3, 4, 5, 6]]
An array of times:
[[1, 1, 1, 1, 1, 1],
[2, 2, 2, 2, 2, 2],
[3, 3, 3, 3, 3, 3]]
And then my data:
[[22, 10, 5, NaN, 3, 7],
[4, 2, 9, -3, 4, 1],
[7, 5, 2, -1, 4, 2]]
How do I get a grid that looks something like this:
-3 -2 -1 0 1 2 3 4 5 6
1 22 10 5 NaN 3 7 NaN NaN NaN NaN
2 NaN NaN 4 2 9 -3 4 1 NaN NaN
3 NaN NaN NaN NaN 7 5 2 -1 4 2
I was then planning on making a Pandas DataFrame out of the data and using it for data analysis.
python python-2.7 pandas
asked Nov 11 at 21:17
Troy Zaremba
785
I have three arrays. Time, height, and then my values at each time and height. It is a large dataset and when I try to do np.meshgrid() I get a memory error. When I plot it using plt.pcolormesh it plots perfectly.
For example, if I have an array of heights:
[[-3, -2, -1, 0, 1, 2],
[-1, 0, 1, 2, 3, 4],
[ 1, 2, 3, 4, 5, 6]]
An array of times:
[[1, 1, 1, 1, 1, 1],
[2, 2, 2, 2, 2, 2],
[3, 3, 3, 3, 3, 3]]
And then my data:
[[22, 10, 5, NaN, 3, 7],
[4, 2, 9, -3, 4, 1],
[7, 5, 2, -1, 4, 2]]
How do I get a grid that looks something like this:
-3 -2 -1 0 1 2 3 4 5 6
1 22 10 5 NaN 3 7 NaN NaN NaN NaN
2 NaN NaN 4 2 9 -3 4 1 NaN NaN
3 NaN NaN NaN NaN 7 5 2 -1 4 2
I was then planning on making a Pandas DataFrame out of the data and using it for data analysis.
python python-2.7 pandas
python python-2.7 pandas
asked Nov 11 at 21:17
Troy Zaremba
785
asked Nov 11 at 21:17
Troy Zaremba
785
asked Nov 11 at 21:17
Troy Zaremba
785
asked Nov 11 at 21:17
Troy Zaremba
785
asked Nov 11 at 21:17
Troy Zaremba
785
785
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
Go ahead and make your DataFrame and then just print it
df = pd.DataFrame()
df.columns = set(times)
df.index = set(heights)
for t, h, d in zip(times, heights, data):
df[t].loc[h] = data
print(df)
answered Nov 11 at 21:30
John H
1,224415
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Go ahead and make your DataFrame and then just print it
df = pd.DataFrame()
df.columns = set(times)
df.index = set(heights)
for t, h, d in zip(times, heights, data):
df[t].loc[h] = data
print(df)
answered Nov 11 at 21:30
John H
1,224415
add a comment |
Go ahead and make your DataFrame and then just print it
df = pd.DataFrame()
df.columns = set(times)
df.index = set(heights)
for t, h, d in zip(times, heights, data):
df[t].loc[h] = data
print(df)
answered Nov 11 at 21:30
John H
1,224415
add a comment |
Go ahead and make your DataFrame and then just print it
df = pd.DataFrame()
df.columns = set(times)
df.index = set(heights)
for t, h, d in zip(times, heights, data):
df[t].loc[h] = data
print(df)
answered Nov 11 at 21:30
John H
1,224415
Go ahead and make your DataFrame and then just print it
df = pd.DataFrame()
df.columns = set(times)
df.index = set(heights)
for t, h, d in zip(times, heights, data):
df[t].loc[h] = data
print(df)
answered Nov 11 at 21:30
John H
1,224415
edited Nov 12 at 19:50
answered Nov 11 at 21:30
John H
1,224415
answered Nov 11 at 21:30
John H
1,224415
answered Nov 11 at 21:30
John H
1,224415
1,224415
add a comment |
add a comment |
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