Related
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
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
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
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
Mathias To visualize the data, I used the heatmap from the plotly.js library. After rendering the heatmap, I want to be able to dynamically change the axis limits. So far I managed to do this for the z axis (color) but not the x or y axis. Here is my attempt:
Efren M I have the following seaborn fiddle plot: sns.violinplot( x=c1_census['Cluster Labels'], y=c1_census['Land Area (km2)'],palette=my_pal)
plt.show()
How can I change the labels of the x-axis without going back and changing the data. E.g: Replace 0 for A
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 (
Efren M I have the following seaborn fiddle plot: sns.violinplot( x=c1_census['Cluster Labels'], y=c1_census['Land Area (km2)'],palette=my_pal)
plt.show()
How can I change the labels of the x-axis without going back and changing the data. E.g: Replace 0 for A
Efren M I have the following seaborn fiddle plot: sns.violinplot( x=c1_census['Cluster Labels'], y=c1_census['Land Area (km2)'],palette=my_pal)
plt.show()
How can I change the labels of the x-axis without going back and changing the data. E.g: Replace 0 for A
Efren M I have the following seaborn fiddle plot: sns.violinplot( x=c1_census['Cluster Labels'], y=c1_census['Land Area (km2)'],palette=my_pal)
plt.show()
How can I change the labels of the x-axis without going back and changing the data. E.g: Replace 0 for A
Efren M I have the following seaborn fiddle plot: sns.violinplot( x=c1_census['Cluster Labels'], y=c1_census['Land Area (km2)'],palette=my_pal)
plt.show()
How can I change the labels of the x-axis without going back and changing the data. E.g: Replace 0 for A
Efren M I have the following seaborn fiddle plot: sns.violinplot( x=c1_census['Cluster Labels'], y=c1_census['Land Area (km2)'],palette=my_pal)
plt.show()
How can I change the labels of the x-axis without going back and changing the data. E.g: Replace 0 for A
Maria friends! Today, I want to ask my next question - how to change the points on the X axis? See what I have. chart1.Series[0].Points.Clear();
chart1.Series[0].Color = Color.Red;
chart1.Series[0].BorderWidth = 2;
...
for (double i = step; i <= T; i += step)
Maria friends! Today, I want to ask my next question - how to change the points on the X axis? See what I have. chart1.Series[0].Points.Clear();
chart1.Series[0].Color = Color.Red;
chart1.Series[0].BorderWidth = 2;
...
for (double i = step; i <= T; i += step)
werewolf I am using the following script to display information with two y axes and a common x axis. import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
#creating a host plot with x and y axis
werewolf I am using the following script to display information with two y axes and a common x axis. import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
#creating a host plot with x and y axis
werewolf I am using the following script to display information with two y axes and a common x axis. import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
#creating a host plot with x and y axis
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
werewolf I am using the following script to display information with two y axes and a common x axis. import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
#creating a host plot with x and y axis
werewolf I am using the following script to display information with two y axes and a common x axis. import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import host_subplot
import mpl_toolkits.axisartist as AA
#creating a host plot with x and y axis
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
Marius Hoffert The time series plot below plot.zoo()shows an odd number of (only one) x-axis ticks. How can I convince to plot.zoo()show more x-axis ticks? ## Create a dummy time series
library(xts)
start <- as.Date("2020-04-01")
end <- as.Date("2021-06-02")
d