Displaying Matplotlib Line Graph in Jupyter - python

I'm working on taking some data from a dataset and plotting certain aspects of it. Here's my code below:
import matplotlib.pyplot as plt
df1 = pd.read_csv('dataset_1.csv')
soil_moisture = list(df1.Soil_Moisture)
soil_temperature = list(df1.Soil_Temp)
print(len(soil_moisture))
print(len(soil_temperature))
plt.plot([soil_moisture], [soil_temperature])
plt.show()
As you can see, it takes data from each of those columns and tries to make a line graph. However, when I run, it just displays an empty graph. This is weird since when I print the soil_moisture and soil_temperature, it tells me that there's actual data, and none of my other plots in the same notebook are experiencing this. All help is appreciated!
Here's an image of the jupyter output


Please revise line 7 of your code as:
plt.plot(soil_moisture, soil_temperature)
When you use [soil_moisture] that means you are generating another list with list soil_moisture as its first element.

Related

Is there a way to plot lines over a datashader plot in Bokeh (Python)?

I am working with relatively large datasets (approximately 10x20.000.000 data point), for which Datashader is a useful visualisation tool. To give more information in these visualisations, I would like to add lines showing averages/standarddeviations on top of this datashade figure. Does anyone know how this would be possible?
My current code:
from bokeh.plotting import figure
from bokeh.io import show
x = 'xcol'
y= 'ycol'
data = dataframe
fig = figure(x_axis_label=x, y_axis_label=y)
points = hv.Points(data[[x, y]], label=('Title'))
hd.datashade(points, cmap='crest')
What I would like to do is for example add the following line to the figure generated with the code above:
fig.line([1,10,20], [0, 1000,2000], line_width=4)
Thanks in advance.

How do I make a simple plot using Matplotlib?

I am trying to plot a text files with X,Y values(attached inline). I am first converting the text file into 2 array objects XAxis1 and YAxis1. The plot doesn't come out properly. Unable to set the X and Y axis values.
Any help is much appreciated.
(Sample1.txt)XAxis1 : 0.51,0.52,0.53,0.54,0.55,0.56,0.57,0.58,0.59,0.6,0.61,0.62,0.63,0.64,0.65,0.66,0.67,0.68,0.69,0.7
(Sample2.txt)YAxis1:
29.63,30.03,30.94,31.67,33.59,35.09,35.35,35.04,36.71,36.77,36.84,37.45,33.87,31.68,30.98,27.97,29.24,38.52,33.37,27.8
Sorry could not paste the code, some errors..

Some people have downvoted your question, because a google search can solve much bigger problems and this is not very exotic.
See https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html
from matplotlib.pyplot import plot
ax_x = [
0.51,0.52,0.53,0.54,0.55,0.56,0.57,0.58,0.59,0.6,0.61,0.62,0.63,0.64,0.65,0.66,0.67,0.68,0.69,0.7]
ax_y = [
29.63,30.03,30.94,31.67,33.59,35.09,35.35,35.04,36.71,36.77,36.84,37.45,33.87,31.68,30.98,27.97,29.24,38.52,33.37,27.8]
plot(ax_x, ax_y)
In case reading from file is a problem, I recommend saving everything in a useful format.
See https://www.programiz.com/python-programming/json

Plotly in Python: show mean and variance of selected data

I am generating histograms using go.Histogram as described here. I am getting what is expected:
What I want to do is to show some statistics of the selected data, as shown in the next image (the white box I added manually in Paint):
I have tried this and within the function selection_fn I placed the add_annotation described here. However, it does nothing. No errors too.
How can I do this?
Edit: I am using this code taken from this link
import plotly.graph_objects as go
import numpy as np
x = np.random.randn(500)
fig = go.Figure(data=[go.Histogram(x=x)])
fig.show()
with obviously another data set.

matplotlib.pyplot.plot() doesn't show the graph

I am learning Python and I have a side project to learn to display data using matplotlib.pyplot module. Here is an example to display the data using dates[] and prices[] as data. Does anyone know why we need line 5 and line 6? I am confused why this step is needed to have the graph displayed.
from sklearn import linear_model
import matplotlib.pyplot as plt
def showgraph(dates, prices):
dates = numpy.reshape(dates, (len(dates), 1)) # line 5
prices = numpy.reshape(prices, (len(prices), 1)) # line 6
linear_mod = linear_model.LinearRegression()
linear_mod.fit(dates,prices)
plt.scatter(dates,prices,color='yellow')
plt.plot(dates,linear_mod.predict(dates),color='green')
plt.show()

try the following in terminal to check the backend:
import matplotlib
import matplotlib.pyplot
print matplotlib.backends.backend
If it shows 'agg', it is a non-interactive one and wont show but plt.savefig works.
To show the plot, you need to switch to TkAgg or Qt4Agg.
You need to edit the backend in matplotlibrc file. To print its location in terminal do the following.
import matplotlib
matplotlib.matplotlib_fname()
more about matplotlibrc

Line 5 and 6 transform what Im assuming are row vectors (im not sure how data and prices are encoded before this transformation) into column vectors. So now you have vectors that look like this.
[0,
1,
2,
3]
which is the form that linear_model.Linear_Regression.fit() is expecting. The reshaping was not necessary for plotting under the assumption that data and prices are row vectors.

My approach is exactly like yours but still without line 5 and 6 display is correct. I think those line are unnecessary. It seems that you do not need fit() function because of your input data are in row format.

editing plot - python

Hi I have a code that plots 2D data from a .dat file (I'll call it filename.dat which is just a .dat file with 2 columns of numbers). It works fine, I just have some questions as to how to improve it.
How can I edit my code to make the axes label larger and add a title? This code is not so easy to edit the way I have it written now. I have tried adding the fontsize,title into the plotfile(...) command, but this did not work. Thanks for the help! My code is below.
import numpy as np
import matplotlib.pyplot as plt
#unpack file data
dat_file = np.loadtxt("filename.dat",unpack=True)
plt.plotfile('filename.dat', delimiter=' ',cols=(0,1), names=('x','y'),marker='0')
plt.show()

I assume you want to add them to the plot.
You can add a title with:
plt.title("MyTitle")
and you add text to the graph with
# the following coordinates need to be determined with experimentation
# put them at a location and move them around if they are in
# the way of the graph
x = 5
y = 10
plt.text(x,y, "Your comment")
This can help you with the font sizes:
How to change the font size on a matplotlib plot

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