Sometimes, we want to truncate float values with Python.
In this article, we’ll look at how to truncate float values with Python.
To truncate float values with Python, we can use the round function.
For instance, we write
n = round(1.923328437452, 3)
to call round to round 1.923328437452 to 3 decimal places.
To truncate float values with Python, we can use the round function.
Sometimes, we want to rank items in an array using Python NumPy, without sorting array twice.
In this article, we’ll look at how to rank items in an array using Python NumPy, without sorting array twice.
To rank items in an array using Python NumPy, without sorting array twice, we can use the SciPy rankdata function.
For instance, we write
from scipy.stats import rankdata
a = [4, 2, 7, 1]
ranks = rankdata(a)
to call rankdata with list a to return a list with the ranks of the values in a.
The ranks for floats by default.
To rank items in an array using Python NumPy, without sorting array twice, we can use the SciPy rankdata function.
Sometimes, we want to read in table without headers with Python Pandas.
In this article, we’ll look at how to read in table without headers with Python Pandas.
To read in table without headers with Python Pandas, we call read_csv with the header argument set to None.
For instance, we write
df = pd.read_csv(file_path, header=None, usecols=[3, 6])
to call read_csv with the file_path to the csv file.
header is set to None to skip the headers.
And we set usecols to [3, 6] to get the 4th and 7th columns.
To read in table without headers with Python Pandas, we call read_csv with the header argument set to None.
Sometimes, we want to find all possible permutations of a given string in Python.
In this article, we’ll look at how to find all possible permutations of a given string in Python.
To find all possible permutations of a given string in Python, we can use the itertools‘s permutation function.
For instance, we write
from itertools import permutations
perms = [''.join(p) for p in permutations('foobar')]
to call permutation with 'foobar' to find all permutations of the characters in the 'foobar' string.
We call ''.join with the permuted characters to join them back into strings.
To find all possible permutations of a given string in Python, we can use the itertools‘s permutation function.
Sometimes, we want to fix Python Matplotlib overlapping annotations or text.
In this article, we’ll look at how to fix Python Matplotlib overlapping annotations or text.
To fix Python Matplotlib overlapping annotations or text, we can use the adjustText library.
To install it, we run
pip install adjustText
Then we use it by writing
import matplotlib.pyplot as plt
from adjustText import adjust_text
import numpy as np
together = [(0, 1.0, 0.4), (25, 1.013, 0.41), (50, 1.016, 0.41), (75, 1.10434, 0.42), (100, 1.161044, 0.44), (125, 1.16856, 0.43), (150, 1.3486407784550272, 0.45), (250, 1.401399, 0.45)]
together.sort()
text = [x for (x,y,z) in together]
eucs = [y for (x,y,z) in together]
covers = [z for (x,y,z) in together]
p1 = plt.plot(eucs,covers,color="black", alpha=0.5)
texts = []
for x, y, s in zip(eucs, covers, text):
texts.append(plt.text(x, y, s))
plt.xlabel("x")
plt.ylabel("y")
plt.title("Test plot")
adjust_text(texts, only_move={'points':'y', 'texts':'y'}, arrowprops=dict(arrowstyle="->", color='r', lw=0.5))
plt.show()
to create the together list with the points we wan tto plot.
And then we create lists with the x, y and z axis values from the together list.
Next, we call plot to plot the values.
And then we append the text with the for loop.
And then we call adjust_text to move the texts so that they won’t over.
We specify that we move the points and texts in the y direction.
To fix Python Matplotlib overlapping annotations or text, we can use the adjustText library.