I am trying to display data on a graph between 2002-2022 as shown in the attached image. I tried some methods to set it but it's not executing. How do I manually set the limits so the graphs do not show a compressed plot.
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Pls can you help me out with this:
So I am following a colour theme for my EDA notebook. Despite setting the style and colour, one of my seaborn visualisations is acting funny and not showing up in the colour that I want the output in. Pls, can you help me out with the same.
Here's the code related to the issue:
#Lets set the style of all our seaborn based plots
plt.style.use(['ggplot'])
# Setting the theme of our plots
theme = ["#0a2e36", "#27FB6B","#14cc60","#036d19","#09a129"]
print('THEME')
sns.palplot(sns.color_palette(theme))
palette= sns.set_palette(sns.color_palette(theme))
Then I ran the following code for the visualisation:
#The pair plot function creates a grid of Axes in which each variable in the data is shared across a single row and a single column on the y-axis.
sns.pairplot(data_df,palette="theme");
Despite this I am getting ablue colored pairplot.
The amount of data that I need to plot is above 30k points. I'm aware that the hover over functionality is possible for an active graph. But is it possible to display the value of a particular data point when hovered over on saved matplotlib plots?
Are there any other interactive plotters that offer such a functionality for saved plots?
When I use Matplotlib's plt.show() I get a nice Plot which can can be zoomed to very high precision(practically infinite). But when I save it as a image it loses all this information gives information depending on resolution.
Is there any way I can save the plot with the entire information? i.e Like those interactive plots which can rescaled at any time?
P.S- I know I can set dpi to get high quality images. This is not what I want. I want image similar to Plot which python shows when I run the program. What format is that? Or is it just very high resolution image?
Note- I am plotting .csv files which includes data varying from 10^(-10) to 100's. Thus when I save the plot as .png file I lose all the information/kinks of graph at verŠ½ small scales and only retain features from 1-100.
Maybe the interactive graphic library bokeh is an option for you. See here. It's API is just little different from what you know from matplotlib.
Bokeh creates plots as html files that you can view in your browser. For each graphic you can select wheel zoom to zoom interactively into your graphic. You can change interactively the range that you want to be plotted. Therefore you don't loose information in your graphic.
In my plotting application written in Python, I use matplotlib (with TkAgg backend) to draw some data.
This plot is interactive, so the user can drag/zoom the plot region. However, sometimes the application needs to clear the curves and plot them anew - and as a result, the plot rescales to the extent of the curves.
It would be better to keep the user-defined limits. However, calling e.g. ax.get_xlim() returns the limits that were originally set by ax.set_xlim(...), not the current limits that the user has changed by their mouse.
I tried hard to find the solution in the documentation and examples, yet still I could not resolve this simple task: How to get the current limits of interactive matplotlib plot?
I am using matplotlib to generate some histograms. When I am comparing the image generated by show
plt.show()
with the pdf generated by either savefig or saving from show window I see this ugliness:
exported vector image
It looks like matplotlib reduced amount of detail in edges of simple bars.