Related
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Steven Camden I have a very simple bubble chart, see below. The only thing I need to do is be able to get the range (or min and max) or the resulting x and y axis. trace = go.Scatter(
x=df_test['total_points_mean'],
y=df_test['total_points_std'],
m
Kunal Singhal I want my plot to also show 7000 on the x-axis, since there are more than 6000 values in the data. I try to use, set_xlim(right = 7000)but an error pops up 'QuadContourSet' object has no attribute 'set_xlim' import numpy as np
import matplotlib.p
Kunal Singhal I want my plot to also show 7000 on the x-axis, since there are more than 6000 values in the data. I try to use, set_xlim(right = 7000)but an error pops up 'QuadContourSet' object has no attribute 'set_xlim' import numpy as np
import matplotlib.p
Alfonso D. I don't understand how to use the get command to "query the y-axis limits". I know I can find the properties related to axis limits in the Property Editor, but I can't find it and am stuck. Benoit_11 As a generic version of my comment, you can get a
Alfonso D. I don't understand how to use the get command to "query the y-axis limits". I know I can find the properties related to axis limits in the Property Editor, but I can't find it and am stuck. Benoit_11 As a generic version of my comment, you can get a
username I have a dataframe with first column like this df<- structure(list(phenelzine = c(-0.0269, 0.0217, 0.4609, -0.0011,
0.0016, -0.0334, 0.5159, 0.4687, -0.5715, -0.1466, 0.1096, 0.1006,
-0.1021, 0.0093, -0.2616, 0.1496, 0.4463, -0.0833, 0.0573, 0.0
username I have a dataframe with the first column like this df<- structure(list(phenelzine = c(-0.0269, 0.0217, 0.4609, -0.0011,
0.0016, -0.0334, 0.5159, 0.4687, -0.5715, -0.1466, 0.1096, 0.1006,
-0.1021, 0.0093, -0.2616, 0.1496, 0.4463, -0.0833, 0.0573,
username I have a dataframe with the first column like this df<- structure(list(phenelzine = c(-0.0269, 0.0217, 0.4609, -0.0011,
0.0016, -0.0334, 0.5159, 0.4687, -0.5715, -0.1466, 0.1096, 0.1006,
-0.1021, 0.0093, -0.2616, 0.1496, 0.4463, -0.0833, 0.0573,
Ann Kribel I'm trying to plot some data, but I don't know how to add date values on the x-axis of the chart. Here is my code: import pandas as pd
import numpy as np
%matplotlib inline
%pylab inline
import matplotlib.pyplot as plt
pylab.rcParams['figure.figsiz
Ann Kribel I'm trying to plot some data, but I don't know how to add date values on the x-axis of the chart. Here is my code: import pandas as pd
import numpy as np
%matplotlib inline
%pylab inline
import matplotlib.pyplot as plt
pylab.rcParams['figure.figsiz
DJ Elbow Using matplotlib and iPython, I tried viewing a bunch of plots (one after the other). Some graphs only contain values from 0 to 1, while others contain millions of values. After setting the y-axis limits, use: ylim((.7,1))
I'd like to be able to rese
DJ Elbow Using matplotlib and iPython, I tried viewing a bunch of plots (one after the other). Some graphs only contain values from 0 to 1, while others contain millions of values. After setting the y-axis limits, use: ylim((.7,1))
I'd like to be able to rese
Manishragu I would like to draw an additional line on the x-axis which appears at the 0 point on the y-axis. Charts are created based on dynamic values and therefore cannot provide a fixed position. It needs to read the x-axis position where point 0 occurs, an
Lockheed I am trying to visualize a numpy array using imshow() as it is similar to imagesc() in MATLAB. import numpy as np
import matplotlib.pyplot as plt
plt.imshow(np.random.rand(8, 90), aspect='auto')
The resulting plot is shown below, with the x-axis lim
Lockheed I am trying to visualize a numpy array using imshow() as it is similar to imagesc() in MATLAB. import numpy as np
import matplotlib.pyplot as plt
plt.imshow(np.random.rand(8, 90), aspect='auto')
The resulting plot is shown below, with the x-axis lim
Lockheed I am trying to visualize a numpy array using imshow() as it is similar to imagesc() in MATLAB. import numpy as np
import matplotlib.pyplot as plt
plt.imshow(np.random.rand(8, 90), aspect='auto')
The resulting plot is shown below, with the x-axis lim
Lockheed I am trying to visualize a numpy array using imshow() as it is similar to imagesc() in MATLAB. import numpy as np
import matplotlib.pyplot as plt
plt.imshow(np.random.rand(8, 90), aspect='auto')
The resulting plot is shown below, with the x-axis lim
then the elk I get data from excel and plot it. The first column is the date, while the last two columns are the prices of different indices. I managed to plot them, but they are on separate plots. I need them to be plotted against each other with one y-axis (
Gilkov Arpa In this SVG chart, the lines are too flat. How can I exaggerate the difference in the Y value of the points to make it look more "zigzag", with the lowest point of the line at the bottom of the chart and the highest point at the top? svg {
displa
username Given a dataframe like this: V1 V2 V3 V4 ... V25
1 0.3 0.2 0.0 0.0 0.0
2 0.0 0.0 0.1 0.15 0.0
...
I want to take the row names as the x-axis and the column names ( V1: V25) as the y-axis and plot multiple area graphs in the same chart
lucky I am using the R version of plotly. This is what I want: x = 1:100
y = 1:100
plot_ly(x, y)
I want the plot to only show where x > 20 and x < 40 and ignore other parts. How to do this? hpesoj626 set . layout_xaxis y = 1:100
plot_ly(x=~x, y=~y) %>%
layo
lucky I am using the R version of plotly. This is what I want: x = 1:100
y = 1:100
plot_ly(x, y)
I want the plot to only show where x > 20 and x < 40 and ignore other parts. How to do this? hpesoj626 set . layout_xaxis y = 1:100
plot_ly(x=~x, y=~y) %>%
layo
Mahmoud Abdul-Rahman I want to create a bar chart where the x-axis are the columns in datetimemy dataframe. I converted the datetimein pandascolumn to time only and when I try to use the matplotlib.pyplot.barplotfunction to plot the data I get an error : impor