kandi X-RAY | rn-dark Summary
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QUESTION
I bought a theme who uses react and react redux. When I compile it there is no problem but if I include it on my symfony project I have this error:
...ANSWER
Answered 2020-Jun-25 at 20:26Looks like you're not compiling typescript.
See here how to enable it in webpack encore: https://symfony.com/doc/current/frontend/encore/typescript.html
QUESTION
I have several polygons I'm trying to visualize together. Some of the polygons cross the dateline. I cannot figure out how to visualize the polygons together.
I have tried multiple arrangements of the points used to create the shapely polygon, experimented with the central_longitude
projection parameter, (e.g. cartopy set extent with central_longitude=180) and conversions of the longitudes (which are natively in degrees East, 0 : 360).
The latter seems to have the most effect.
That is, when I don't perform the conversion, the Pacific polygon is correct, but the Gulf polygon does not show up (Fig. Correct Pacific, no Gulf.
Turning off the correction, both polygons show up but the Pacific one is incorrect (Fig. Incorrect Pacific).
Thanks for any and all help.
MWE
...ANSWER
Answered 2020-Aug-04 at 02:50To get what you expect, CRS must be used correctly in all parts of your code. Usually, our data is coded in one CRS, normally it is geographic (long, lat in degrees). In the code below, crs0
is the data CRS, and crs180
is the CRS of the projection of the map. Since the two CRS's are different, coordinate transformation must be performed in certain steps to get the correct result.
QUESTION
ANSWER
Answered 2020-Jul-05 at 07:23import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.patches import Rectangle
# plt parameters
plt.rcParams['figure.figsize'] = (10.0, 10.0)
plt.style.use('seaborn-dark-palette')
plt.rcParams['axes.grid'] = True
plt.rcParams["patch.force_edgecolor"] = True
# data
np.random.seed(365)
replicates = np.random.normal(0.0011542834124829882, 1.6243483937004772, 10000)
mean_diff = 1.1582360922659518
# plot replicates
p = sns.distplot(replicates, bins=30)
# add the vertical line
plt.vlines(mean_diff, 0, 0.25, color='r', label='mean', colors="r")
# add the annotation
plt.annotate('p-value', xy=(3.5, 0.05), weight='bold', color='teal',
xytext=(4, 0.15), fontsize=15, arrowprops=dict(arrowstyle="->", color='teal'))
# color bars greater than mean_diff except the partial bar
for rectangle in p.patches:
if rectangle.get_x() >= mean_diff:
rectangle.set_facecolor('teal')
# I tried adding a Rectangle of the following dimensions, but it didn't color the rectangle
width = 1.28523-mean_diff
plt.bar(x=mean_diff+0.5*width,height=0.206371,width=width,color="#99cccc",edgecolor="#7a7d89")
plt.show()
QUESTION
from matplotlib import style
print(plt.style.available)
...ANSWER
Answered 2019-Nov-30 at 19:49You need to use a for loop to iterate through the list and print each item.
QUESTION
I want to use seaborn-dark style in matplotlib, but override the spines being invisible.
Example A - using the style before setting the spines visible means I get seaborn-dark style but I do not get green spines.
...ANSWER
Answered 2019-Jul-17 at 21:20The seaborn-dark style sets the linewidth of the axes to 0. So you need to reset the linewidth property back to 1 or whatever you need.
QUESTION
My current code will plot and then update the plot with the plt.draw
command. It also erases the previous update with plt.clf
. I want to turn this into an animation and save it as a video. However, all the examples online have the function animate(i)
, but the function I define has already looped through everything. I think there is an easier way to go about this but I'm unable to see it. I have my attempt down below.
ANSWER
Answered 2019-Mar-21 at 14:29I untimely just changed the nested loop for an array. Hence, I essentially just made the first for loop that controlled time to an array of time and it works for the animation plot. If anyone else encounters this problem, I have the solution that works down below.
QUESTION
I am working on a project that plots clinical values using Matplotlib and want to display a y-axis with both negative and positive values going from -3 to 3. I'm getting the data from a DataFrame.
An example of the data I'm trying to plot:
...ANSWER
Answered 2019-Mar-04 at 10:51Your problem is because your z-scores
are stored as strings. Matplotlib clearly doesn't interpret these as a numeric and just plots a straight line of the two 'categorical variables' against each other. To fix the issue convert your z-scores
to floats:
QUESTION
ANSWER
Answered 2019-Feb-07 at 16:33Try and give the footer an id and add this code snippet to it
QUESTION
I have a stripplot where I use binned data for the coloration of the datapoints. Instead of a legend I'd like to show a colorbar. I've looked at many examples but I'm stuck at how to use this with a Seaborn Stripplot (and my dataset).
I have a dataframe dfBalance which has numerical data in column Balance and the different categories in column Parameter. It also contains time in a column Time which I use for binning for coloration of the datapoints
...ANSWER
Answered 2018-Oct-18 at 13:40In the end, I think the solution should be exactly the same as the one proposed in this recent question, and the current question could/should be marked as a duplicate.
I had to modify your code a bit because I could not see the points very well, but hopefully that wont make much of a difference.
QUESTION
This is probably a misunderstanding how colormaps are different from palettes, but I'd like to use a colormap that is not available in seaborn for coloring my binned dataset. I tried using palettable and now cmocean in particular directly but will get a TypeError;
'LinearSegmentedColormap' object is not iterable
Using any of the palettes that are available in Seaborn will work just fine, but I need a palette that doesn't go to white as this adds a weird 'banding' to the plot.
I have a dataframe with 3 columns with numerical data, dimensions and added a bin column for the colors usage in the plot.
...ANSWER
Answered 2018-Oct-10 at 11:23Seaborn does not take a Colormap
instance as input for .color_palette
. It takes
name of matplotlib cmap, [...], or a list of colors in any format matplotlib accepts
Since cmocean registers its colormaps with matplotlib with a "cmo."
prefix, you would do
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