matplotlib graph legend is in reverse order (barh)

2018-09-23 17:23 TheCrystalShip imported from Stackoverflow

I have 15 graphs that looks like this:

As you see, the legend is in reverse order. I want to see 4 first, below that 3 etc.

My code:

import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
def plot_bars_by_data(data, title):
    fig, axs = plt.subplots(8,2, figsize=(20,40))
    fig.suptitle(title, fontsize=20)
    fig.subplots_adjust(top=0.95)
    plt.rcParams.update({'font.size': 13})
    axs[7,1].remove()

    column_index = 0
    for ax_line in axs:
        for ax in ax_line:
            if column_index < len(data.columns): 
                column_name = data.columns[column_index]
                current_column_values = data[column_name].value_counts().sort_index()
                axx = ax.barh([str(i) for i in current_column_values.index], 
                              list(current_column_values.values), 
                              color=[colors[i] for i in range(data[column_name].value_counts().count())])
                ax.legend(axx, [str(i) for i in current_column_values.index])
                ax.set_title(column_name)
                column_index +=1

    plt.show()

# random data
df_test = pd.DataFrame([np.random.randint(2,5,size=15) for i in range(15)], columns=list('abcdefghijlmnop'))
plot_bars_by_data(df_test, "testing")

I tried to just reverse the legend list, but it is reversing the colors as well. I'm using Python 3.6 in Jupyter python notebook. Any ideas?

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How to plot the frequency of my data per day in an histogram?

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y=['5914cce8-fad6-45d1-bec2-e59e62823617', '1c2067e0-5173-4a1d-8a75-b18267ee4598', 'db6830ff-fa9c-4aa5-b71e-f6da9333f357', '672cc9d5-360e-4451-bb7c-03e3d0bd8f0d', 'fb0f8122-fffc-47fe-a87a-b2b749df173b', '558e96ca-0222-40c7-acc0-e444f7663f53', 'c3f86fd5-eac3-48d3-a44c-b325f30b6139', '21dd849f-895f-4cf5-a168-45a4c1a9fbf9', 'e3b4cd56-e291-4671-93b6-d2226ee82ae7', '01346c48-a8c4-43d1-ac02-1efa33ca0f4e', '23b78b0f-85be-4ca7-99f4-1a5add76c12e', 'b1c036c0-0c2b-4170-a170-8fd0add0dec2', '74737546-e9c3-4126-bcb2-4d34503421ca', '342991f5-ec87-4c9d-83eb-9908f3e221aa', '4fdcd83a-eb68-4e26-b79b-753c5e022a4e', 'b7fbeca9-9416-43c4-9e90-9e71acc1eaba', '27c9d358-a3ef-4c69-ba89-eac16d8d3bdb', 'ef982c4b-a115-48a1-aef1-2f672d7f1f00', 'efedede2-9bb4-4c52-98b1-8b03070df3fd', 'eb03ae1b-4cde-409c-8d34-2a16a8be30d2']
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I'm using the Python MySQL connector to add data to a table by updating the row. A user enters a serial number, and then the row with the serial number is added. I keep getting a SQL syntax error and I can't figure out what it is.

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Error:

mysql.connector.errors.ProgrammingError: 1064 (42000): You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near 'WHERE serialNum = '1B0000021A974726'' at line 1

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I have three different time-series data of the following format where the first column is timestamp and the second column is the value.

0.086206438,10
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0.089262508,24
0.089744425,30
0.090036815,40
0.090054172,28
0.090377569,28
0.090514071,28
0.090762872,28
0.090912691,27

For reproduciability, I have shared the three time-series data I am using here.

From column 2, I wanted to read current row and compare it with the value of the previous row. If it is greater, I keep comparing. If the current value is smaller than the previous row's value continue, I take the difference. Let me make it clear. For example in the above sample record I provided, the seventh row (28) is smaller than the value in the sixth row (40) - so it will be (40-28 =12).

Here is my sample code.

import numpy as np
import pandas as pd
import csv
import numpy as np
import scipy.stats
import matplotlib.pyplot as plt
import seaborn as sns
from scipy.stats import norm
from statsmodels.graphics.tsaplots import plot_acf, acf


protocols = {}


types = {"data1": "data1.csv", "data2": "data2.csv", "data3": "data3.csv"}

for protname, fname in types.items():
    arr = []  
    arr1 = []  
    with open(fname, mode='r', encoding='utf-8-sig') as f:
        reader = csv.reader(f, delimiter=",")
        for i in reader:
            arr.append(int(i[1])) 
            arr1.append(float(i[0])) 

    arr, arr1 = np.array(arr), np.array(arr1)
    diffs = np.diff(arr)
    diffs1 = np.diff(arr1)
    diffs1 = diffs1[diffs > 0] 
    diffs = diffs[diffs > 0] # To keep only the increased values
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        "rdata": np.array(arr),
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        "timediff": diffs,
    }

## change in time 
for protname, values in protocols.items():
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    t = values["rtime"]
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There are a few commented lines, they are just experimentation.

import matplotlib.pyplot as plt
import random
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style.use('fivethirtyeight')

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    xs = []
    ys = []
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        ys.append(rand)
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x,y = create_points(200)
x1,y1 = create_points(200)
x2, y2 = create_points(200)
x3, y3 = create_points(200)

fig = plt.figure()
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plt.ylabel('Plot 1')

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plt.ylabel('Plot 2')
ax2_xtwin = ax2.twinx()

ax3 = plt.subplot2grid((6,1), (5,0), rowspan = 1, colspan = 1, sharex = ax1)
plt.xlabel('x')
plt.ylabel('Plot 3')


ax2_xtwin.fill_between(x,0,y, facecolor = '#0079a3', alpha = 0.4)
#ax2v.axes.yaxis.set_ticklables([])
ax2_xtwin.grid(False)
ax2_xtwin.set_ylim(0, 1.5*max(y))


ax3.plot(x2, y2, x2, y3, linewidth = 1, label = 'x2y2 plot', color = 'k')

#ax3.plot(x3, y3, linewidth = 1, label = 'x3y3 plot', color = 'firebrick')

ax3.fill_between(x2, y2, y3, where = (y2 >= y3), facecolor = 'darkgreen',
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ax3.fill_between(x2, y2, y3, where = (y2 <= y3), facecolor = 'firebrick',
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#Print Points

ax1.plot(x, y, linewidth = 1, label = 'xy plot', color = 'gold')

ax2.plot(x1, y1, linewidth = 1, label = 'x1y1 plot', color = 'sandybrown')

#ax3.plot(x2, y2, linewidth = 1, label = 'x2y2 plot', color = 'darkgreen')

#ax3.plot(x3, y3, linewidth = 1, label = 'x3y3 plot', color = 'firebrick')

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 #-------------------------------------
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axs.set_xlabel(r"$X$    ", labelpad=2)
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df <- data.frame(x = rep(1:5,5),
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p

which gives

Now I want to split the legend into two columns, for space reasons. I tried

p + guides(color=guide_legend(ncol=2))

but it remove the override part of my legend, letting just points:

p + guides(color=guide_legend(ncol=2),
           fill =guide_legend(ncol=2) ,
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didn't work either. Does anyone have an idea on how to deal with this particular problem?

reversing a array in PYTHON and prints the sum of the elements of array A with the corresponding elements of the reverse of array A
Can anyone solve this in python?

write a program which prints the sum of the elements of array A with the corresponding elements of the reverse of array A. If array A has elements [1,2,3], then reverse of the array A will be [3,2,1] and the resultant array should be [4,4,4].

Input Format:

The first line of the input contains a number N representing the number of elements in array A. The second line of the input contains N numbers separated by a space. (after the last elements, there is no space)

Output Format:

Print the resultant array elements separated by a space. (no space after the last element)

Example:

Input:
```
4
2 5 3 1
```
Output:
```
3 8 8 3
```
Explanation:

Here array A is [2,5,3,1] os reverse of this array is [1,3,5,2] and hence the resultant array is [3,8,8,3]
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function bannerLoop() {
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            document.getElementById("ban2").style.zIndex = "1100";

        }, 500);

        setTimeout(function () {
            document.getElementById("ban2").style.opacity = "1";
        }, 1000);

        bannerStatus++;
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        document.getElementById("ban3").style.opacity = "0";
        setTimeout(function () {
            document.getElementById("ban1").style.right = "100%";
            document.getElementById("ban1").style.zIndex = "900";
            document.getElementById("ban2").style.right = "0px";
            document.getElementById("ban2").style.zIndex = "1000";
            document.getElementById("ban3").style.right = "-100%";
            document.getElementById("ban3").style.zIndex = "1100";

        }, 500);

        setTimeout(function () {
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            document.getElementById("ban3").style.opacity = "1";
        }, 1000);

        bannerStatus++;
    } else if (bannerStatus === 2) {

        document.getElementById("ban2").style.opacity = "0";
        setTimeout(function () {
            document.getElementById("ban2").style.right = "100%";
            document.getElementById("ban2").style.zIndex = "900";
            document.getElementById("ban3").style.right = "0px";
            document.getElementById("ban3").style.zIndex = "1000";
            document.getElementById("ban1").style.right = "-100%";
            document.getElementById("ban1").style.zIndex = "1100";

        }, 500);

        setTimeout(function () {
            document.getElementById("ban2").style.opacity = "1";
        }, 1000);

        bannerStatus++;
    } else if (bannerStatus === 3) {

        document.getElementById("ban1").style.opacity = "0";
        setTimeout(function () {
            document.getElementById("ban1").style.right = "100%";
            document.getElementById("ban1").style.zIndex = "900";
            document.getElementById("ban2").style.right = "0px";
            document.getElementById("ban2").style.zIndex = "1000";
            document.getElementById("ban3").style.right = "-100%";
            document.getElementById("ban3").style.zIndex = "1100";

        }, 500);

        setTimeout(function () {
            document.getElementById("ban1").style.opacity = "1";
        }, 1000);

        bannerStatus = 1;
    }
}

document.getElementById("nxtbtn").onclick = function () {
    bannerLoop();
}

document.getElementById("prvbtn").onclick = function () {
    reverseBanner();
}

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