Python formatted string to array

How to convert string formatted array into normal array [duplicate]

I need a consistent way to store the arrays as strings so I can then convert them back again as detailed in this post: Convert string containg array of floats to numpy array Solution 1: Question: I receive strings as follows that I need to save and then convert back to numpy arrays later Note how the second line has a space after the first [ and before the last ] How can I format the string to change it so that it does not have this space before and after the brackets?

Convert the formatted string to array in Python

I have the following string

myString = "cat(50),dog(60),pig(70)" 

I try to convert the above String to 2d Array . The result I want to get is

myResult = [['cat', 50], ['dog', 60], ['pig', 70]] 

I already know the way to solve by using the legacy string method but it is quite complicated. So I don’t want to use this approach.

# Legacy approach # 1. Split string by "," # 2. Run loop and split string by "(" => got the # 3. Got the number by exclude ")". 

Any suggestion would appreciate.

You can use the re.findall method:

>>> import re >>> re.findall(r'(\w+)\((\d+)\)', myString) [('cat', '50'), ('dog', '60'), ('pig', '70')] 

If you want a list of lists as noticed by RomanPerekhrest convert it with a list comprehension:

>>> [list(t) for t in re.findall(r'(\w+)\((\d+)\)', myString)] [['cat', '50'], ['dog', '60'], ['pig', '70']] 

Alternative solution using re.split() function:

import re myString = "cat(50),dog(60),pig(70)" result = [re.split(r'[)(]', i)[:-1] for i in myString.split(',')] print(result) 

r'[)(]’ — pattern, treats parentheses as delimiters for splitting

[:-1] — slice containing all items except the last one(which is empty space ‘ ‘ )

JavaScript equivalent of Python’s format() function?, Python’s str.format allows you to specify the string before you even know which values The format function takes an array of values as its parameter,

Format string in python for conversion to nump array

I receive strings as follows that I need to save and then convert back to numpy array s later

[0.46619281 -0.79148525 0.20800316 -0.16633733 1.53767002] [ 0.53119281 -0.79148525 0.20800316 -0.16633733 1.53762345 ] 

Note how the second line has a space after the first [ and before the last ]

How can I format the string to change it so that it does not have this space before and after the brackets?

I need a consistent way to store the arrays as strings so I can then convert them back again as detailed in this post: Convert string containg array of floats to numpy array

a = s.replace('[','').replace(']','').split() a = list(map(int, a)) 

The best professional step is to enforce the sources, that «produce» the different strings, to re-factor their code so as to uniformly adhere to your defined API for string-representation of array(s).

If you trust the sources and want to rely on un-coordinated formats, use an explicit ex-post transformation:

Convert the formatted string to array in Python, I have the following string myString = «cat(50),dog(60),pig(70)». I try to convert the above string to 2D array. The result I want to get is

Python, Replace all array values with formatted string

I have a numpy array which is built of decimal hours like so:

13.1 13.2 13.3 13.4 14.1 14.2 14.3 14.4 15.1 15.2 15.3 15.4 

What I wish to do is convert this array to a time string and then replace all the values in this array with a custom string formatting. I calculate the times like so:

hours = int(time) minutes = int((time*60) % 60) seconds = int((time*3600) % 60) 

From there the conversion will be done like so to get a time string:

ftime = "<>:<>:<>".format(str(hours), str(minutes), str(seconds)) 

And lastly I wish to use this formatting rule and replace all the values in the array with it so I get a result like so:

13:06:00 13:12:00 13:18:00 13:24:00 14:06:00 14:12:00 14:18:00 14:24:00 15:06:00 15:12:00 15:18:00 15:24:00 

What is the best way to go about this?

You can simply multiply your array with a numpy.timedelta64() object representing 1 hour.

dates = np.array(hours * np.timedelta64(3600, 's'), dtype=str) print(dates) # [['13:06:00' '13:12:00' '13:18:00' '13:24:00'] # ['14:06:00' '14:12:00' '14:18:00' '14:24:00'] # ['15:06:00' '15:12:00' '15:18:00' '15:24:00']] 

You can use np.vectorize to make a function element wised.

import numpy as np def format_time(time): hours = int(time) minutes = int((time*60) % 60) seconds = int((time*3600) % 60) return "::".format(hours, minutes, seconds) format_time = np.vectorize(format_time) result = format_time(array) 

Python, Replace all array values with formatted string, What I wish to do is convert this array to a time string and then replace all the values in this array with a custom string formatting.

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Python string to array

In this article, we will discuss a string to be converted to an array in Python. In general, we know that an array is a data structure that has the capability of storing elements of the same data type in Python, whereas the list contains elements with different data type values. In this, we have to see how to convert a string to an array. We have to note that how we can split the given string into an array; it can be a set of characters or strings. This conversion can be done differently; the main technique is to use the split function to convert the string to an array.

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How to convert a string to an array in python?

In this article, we are discussing on a string to an array. To do this, we are using the split() function for converting a string to an array. Now let us see below how to convert a single string to an array of characters, but we will use a simple function instead of the split() function in the below example.

Example #1

def split_str(s): return [c for c in s] s = 'Educba Training' print("The given string is as follows:") print(s) print("The string converted to characters are as follows:") print(split_str(s))

In the above program, we are splitting the given string into characters without using the split() function. In the above program, we can see we have created a function named “split_str” where we are passing a string, and it returns an array of characters. In the above screenshot, we can see the given string results into single characters.

Example #2

Now let us see how to use the split() function to split the string to array in the below example that is demonstrated as below:

t = "Educba Training" print("The given strings is as follows:") print(t) x = t.split() print("The array of strings after using split function:") print(x)

In the above example, we can see we have the given string as “Educba Training,” which means there are two strings, and it is considered as a single string which is stored in the variable “t.” Then we have applied the split() function on the variable “t,” and the result is stored in another variable, “x.” Hence the output will be displayed as an array of strings such as “ [‘Educba,’ ‘Training’].”

Suppose if we have CSV strings, then also we can apply a split() function to these strings and obtain the array of strings, but we have to specify the separator of each string as “,.”

Example #3

Let us see an example below with CSV formatted string and converted to an array of strings using the same split() function.

str1 = "Educba, Training, with, article, on, Python" print("The given csv string is as follows:") print(str1) str2 = str1.split(",") print("The csv string is converted to array of string using split is as follows:") print(str2)

In the above program, we can see str1 holds the CSV formatted string, which means comma-separated string, so to obtain the array of the string; first, we have to separate it from comma at each word or string in the given string. So when the split() function is applied on such string and we have specified (“,”) comma as delimiter or separator to obtain the array of string.

By default, when we specify or apply the split() function on any string, it will by default take “white space” as separator or delimiter. Hence if we have any string having any special characters and we want only to extract an array of strings, then we can just specify that special character as delimiter or separator to obtain the array of strings. We will see a simple example with some special characters in the given string. We need to obtain only the array of strings; then, we can do it again by applying the split() function with delimiter or separator special character in the given string.

Example #4

str1 = "Educba #Training #with #article #on #Python" print("The given string with special character is as follows:") print(str1) str2 = str1.split("#") print("The given string is converted to array of string using split() is as follows:") print(str2)

In the above program, we can see we have a given string with each string having special characters such as a hash (“#”) separated string. This string which is stored in the variable “str1” and split function applied on this string with separator or delimiter specified as (“ # ” ), and the result obtained is stored in another string str2. This string “str2” contains the array of strings separated by the special characters in the given string. Hence the result is as shown in the above screenshot, which has an array of strings from the given string having special characters.

Conclusion

In this article, we have seen what an array is and how to convert any string into an array. Firstly we have seen how to convert a given single string into characters by using the “for” loop. Then we have seen how to use the split() function to convert any string into an array of strings. First, we have seen how to use the split function on the string without specifying any separator or delimiter, then we have seen how to apply a split function on the CSV formatted string to obtain an array of string, and last we have also seen that this split() function can be used on any string having any kind of special characters in it to obtain the only array of strings.

Recommended Articles

This is a guide to Python string to an array. Here we discuss the introduction and examples to convert a string to an array along with code implementation. You may also have a look at the following articles to learn more –

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