python import numpy as np s = 46916 np.random.seed(s) Z = np.random.randint(42,512,(48,12)) The random values in...
python
import numpy as np
s = 46916
np.random.seed(s)
Z = np.random.randint(42,512,(48,12))
The random values in Z are supposed to be uniformly distributed from 42 to 512. This means there should be about the same number of items in the range 100-199 as there is 200-299. What is the absolute difference between the number of items in these ranges, inclusive of the upper and lower bound?
hint: np.histogram accepts bin limits as a list
Homework Answers
import numpy as np
s = 46916
np.random.seed(s)
Z = np.random.randint(42,512,(48,12))
count,_=np.histogram(Z,bins=[4,100,200,300,400,512])
print(count)
absolute_diff=np.abs(count[1]-count[2])
print(absolute_diff)
Add Answer to:
python
import numpy as np
s = 46916
np.random.seed(s)
Z = np.random.randint(42,512,(48,12))
The random values in...
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import numpy as np
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import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import LogisticRegression
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python
1
import matplotlib.pyplot as plt
2
import numpy as np
3
4
abscissa = np.arange(20)
5
plt.gca().set_prop_cycle(
’
color
’
, [
’
red
’
,
’
green
’
,
’
blue
’
,
’
black
’
])
6
7
class MyLine:
8
9
def __init__(self,
*
args,
**
options):
10
#TO DO: IMPLEMENT FUNCTION
11
pass
12
13
def draw(self):
14
plt.plot(abscissa,self.line(abscissa))
15
16
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Problem 1: Random Walk A random walk is a stochastic process. A stochastic process is a series of values that are not determined functionally, but probabilistically. The random walk is supposed to describe an inebriated person who, starting from the bar, intends to walk home, but because of intoxication instead randomly takes single steps either forward or backward, left or right. The person has no memory of any steps taken, so theoretically, the person shouldn't move...
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columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
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This below screen shot is what I have to find
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PYTHON
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
Our goal is to create a linear regression model to estimate
values of ln_price using ln_carat as the only feature. We will now
prepare the feature and label arrays.
"carat" "cut" "color"
"clarity" "depth" "table"
"price" "x" "y" "z"
"1" 0.23 "Ideal" "E" "SI2" 61.5 55 326
3.95 3.98 2.43
"2" 0.21 "Premium" "E" "SI1"...
python
1
import matplotlib.pyplot as plt
2
import numpy as np
3
4
abscissa = np.arange(20)
5
plt.gca().set_prop_cycle(
’
color
’
, [
’
red
’
,
’
green
’
,
’
blue
’
,
’
black
’
])
6
7
class MyLine:
8
9
def __init__(self,
*
args,
**
options):
10
#TO DO: IMPLEMENT FUNCTION
11
pass
12
13
def draw(self):
14
plt.plot(abscissa,self.line(abscissa))
15
16
def get_line(self):
17
return "y = {0:.2f}x + {1:.2f}".format(self.slope,
self.intercept)
18
19
def __str__(self):...
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columns
I was successful with these steps but I am stuck with next
step
below is my code and screenshot
import numpy as np
import pandas as pd
data=pd.read_csv("/Users/superman/Downloads/words_file2.txt",header=None)
df_input=pd.DataFrame(data)
df_output=pd.DataFrame(np.arange(676).reshape((26,26)),
index =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'],
columns =
['a','b','c','d','e','f','g','h','i','j','k','l','m','n','o','p','q','r','s','t','u','v','w','x','y','z'])
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df_output.columns.name="End"
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This below screen shot is what I have to find
I have to find each word...
could you please help me with this problem, also I
need a little text so I can understand how you solved the
problem?
import java.io.File; import java.util.Scanner; /** *
This program lists the files in a directory specified by * the
user. The user is asked to type in a directory name. * If the name
entered by the user is not a directory, a * message is printed and
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