Solucionario Fundamentos De La Ciencia E Ingenieria De Materiales William F Smith 80 🠮

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Solucionario Fundamentos De La Ciencia E Ingenieria De Materiales William F Smith 80 🠮

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Solucionario Fundamentos De La Ciencia E Ingenieria De Materiales William F Smith 80

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A:

There were many answers, but I will use this one because it is simple and does not require extra libraries:
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(16,12))
ax.bar(range(len(result)), result, width=0.4)
plt.show()

You can do the same if you have two series of your data.
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(16,12))
ax.bar(y_range,y_index, width=0.4)

ax.bar(y_range,y_index2, width=0.4)
plt.show()

Or if you have multiple categories of your data:
import matplotlib.pyplot as plt

fig, ax = plt.subplots(figsize=(16,12))
x_range, y_range = ax.get_xlim(), ax.get_ylim()
y_index, y_index2 = ax.get_ylim()
x_values = np.linspace(x_range[0],x_range[1],40)
y_values = [np.arange(y_index[0],y_index[1]+1,dtype=int) for i in y_index]
y_values2 = [np.arange(y_index2[0],y_index2[1]+1,dtype=int) for i in y_index2]

ax.bar(x_values, y_values, width=0.4)
ax.bar(x_values, y_values2, width=0.4)
plt.show()

or using FuncAnimation
import matplotlib.pyplot as plt
import numpy as np

f,ax = plt.subplots(figsize=(16,12))
y_index = np.arange(3,5,1)
y_index2 = np.arange(4,6,1)
ax.bar(y_index,y_index, width=0.4)
ax.bar(

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A:

Например если поменять вот так
DECLARE @strHtml_value VARCHAR(MAX)= ‘перевод из PDF’;

вот так
DECLARE @s HEX(25)=’6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6E6

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